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Microsoft to showcase purpose-built AI infrastructure at NVIDIA GTC | Azure Weblog and Updates


Be a part of Microsoft at NVIDIA GTC, a free on-line world expertise convention (GTC), March 20 to 23 to find out how organizations of any dimension can energy AI innovation with purpose-built cloud infrastructure from Microsoft.

Microsoft’s Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps construct and prepare a number of the trade’s most superior AI options. From information preparation to mannequin and infrastructure efficiency administration, Azure’s complete portfolio of highly effective and massively scalable GPU-accelerated digital machines (VMs) and seamless integration with providers like Azure Batch and open-source options helps streamline administration and automation of enormous AI fashions and infrastructure.

Attend NVIDIA GTC to find how Azure AI infrastructure optimized for AI efficiency can ship velocity and scale within the cloud and provide help to cut back the complexity of constructing, coaching, and bringing AI fashions into manufacturing.

Don’t miss session S52469 that includes Nidhi Chappell, a recipient of the 2023 Individuals to Watch, acknowledged as a high-performance computing (HPC) luminary by HPCwire. Nidhi performs a number one function in driving HPC and AI innovation, accelerating the event of science and adoption of AI by enabling entry to the most effective infrastructure and providers for Microsoft clients.

Register for NVIDIA GTC immediately. 

Microsoft periods at NVIDIA GTC

Photograph of modern data center interior with overlay of digital streams for visual interest.

Add the under Microsoft periods at GTC to your convention schedule to be taught in regards to the newest Azure AI infrastructure and dive deep into quite a lot of use instances and applied sciences. 

Featured periods

Speed up AI Innovation with Unmatched Cloud Scale and Efficiency

Thursday, March 23, 2023 | 7:00 to 7:50 AM PT

Nidhi Chappell, Common Supervisor, Azure HPC, AI, SAP and Confidential Computing, Microsoft

Kathleen Mitford, Company Vice President, Azure Advertising and marketing, Microsoft

Manuvir Das, Vice President of Enterprise Computing, NVIDIA

Alex Kendall, CEO and Co-Founder, Wayve

Azure’s purpose-built AI infrastructure is enabling main organizations in AI to construct a brand new period of revolutionary functions and providers. The convergence of cloud flexibility and economics, with advances in cloud efficiency, is paving the best way to speed up AI initiatives throughout simulations, science, and trade. Whether or not it is advisable to scale to 80,000 cores for MPI workloads, otherwise you’re searching for AI supercomputing capabilities, Azure can assist your wants. Study extra about Azures AI platform, our newest updates, and listen to about buyer experiences.

Azure’s Goal-Constructed AI Infrastructure Utilizing the Newest NVIDIA GPU Accelerators

On-demand

Matt Vegas, Principal Product Supervisor, Microsoft

Microsoft gives a number of the strongest and massively scalable Digital Machines, optimized for AI workloads. Be a part of us for an in-depth take a look at the newest updates for Azure’s ND-series based mostly on NVIDIA GPUs, engineered to ship a mix of high-performance, interconnected GPUs, working in parallel that may provide help to cut back complexity, reduce operational bottlenecks operations, and may ship reliability at scale. 

Talks and panel periods














Session ID

Session Title

Audio system

Major Subject

S51226

Accelerating Massive Language Fashions by way of Low-Bit Quantization

Younger Jin Kim, Principal Researcher, Microsoft


Rawn Henry, Senior AI Developer Know-how Engineer, NVIDIA

Deep Studying-Inference

S51204

Reworking Clouds to Cloud-Native Supercomputing: Greatest Practices with Microsoft Azure

Jithin Jose, Principal Software program Engineer, Microsoft Azure


Gilad Shainer, SVP Networking, NVIDIA

HPC- Supercomputing

S51756

Accelerating AI in Federal Cloud Environments

Invoice Chappel, Vice President of Mission Programs in Strategic Missions and Know-how, Microsoft


Steven H. Walker, Chief Know-how Officer, Lockheed Martin


Matthew Benigni, Chief Information Officer, Military Futures Command


Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA

Information Middle/ Cloud-Enterprise Technique

S51703

Accelerating Disentangled Consideration Mechanism in Language Fashions

Pengcheng He, Principal Researcher, Microsoft


Haohang Huang, Senior AI Engineer, NVIDIA

Conversational AI NLP

S51422

SwinTransformer and its Coaching Acceleration

Han Hu, Principal Analysis Supervisor, Microsoft Analysis Asia


Li Tao, Tech Software program Engineer, NVIDIA

Deep Studying– Coaching+

S51260

Multimodal Deep Studying for Protein Engineering

Kevin Yang, Senior Researcher, Microsoft Analysis New England

Healthcare- Drug Discovery

S51945

Bettering Dense Textual content Retrieval Accuracy with Approximate Nearest Neighbor Search

Menghao Li, Software program Engineer, Microsoft


Akira Naruse, Senior Developer Know-how Engineer, NVIDIA

Information Science

S51709

Hopper Confidential Computing: The way it Works beneath the Hood

Antoine Delignat-Lavaud, Principal Researcher Microsoft Analysis, Microsoft


Phil Rogers, VP of System Software program, NVIDIA

Information Middle/ Cloud Infrastructure- Technical

S51447

Information-Pushed Approaches to Language Range

Kalika Bali, Principal Researcher, Microsoft Analysis India


Caroline Gottlieb, Product Supervisor, Information Technique, NVIDIA


Damian Blasi, Harvard Information Science Fellow, Division of Human Evolutionary Biology, Harvard College


Bonaventure Dossou, Ph.D. Pupil, McGill College and Mila Quebec AI Institute


EM Lewis-Jong, Widespread Voice – Product Lead, Mozilla Basis

Conversational AI/NLP

S51756a

Accelerating AI in Federal Cloud Environments, with Q&A from EMEA Area

Invoice Chappel, Vice President of Mission Programs in Strategic Missions and Know-how, Microsoft


Steven H. Walker, Chief Know-how Officer, Lockheed Martin


Larry Brown, SA Supervisor, NVIDIA


Christi DeCuir, Director, Cloud Go-to-Market, NVIDIA

Information Middle/ CloudBusiness Technique

S51589

Accelerating Wind Power Forecasts with AceCast

Amirreza Rastegari, Senior Program Supervisor, Azure Specialised Compute, Microsoft


Gene Pache, TempoQuest

HPC-Local weather/ Climate/ Ocean Modeling

S51278

Subsequent-Technology AI for Bettering Constructing Safety and Security

Adina Trufinescu, Senior Program Supervisor, Azure Specialised Compute, Microsoft

Laptop Imaginative and prescient -AI Video Analytics

Deep Studying Institute workshops and labs

Photograph of man with headphones on in front of laptop with screen open.

We’re proud to host NVIDIA’s Deep Studying Institute (DLI) coaching at NVIDIA GTC. Attend full-day, hands-on, instructor-led workshops or two-hour free coaching labs to rise up to hurry on the newest expertise and breakthroughs. Hosted on Microsoft Azure, these periods allow and empower you to leverage NVIDIA GPUs on the Azure platform to unravel the world’s most attention-grabbing and related issues. 

Register for a Deep Studying Institute workshop or lab immediately.

Study extra about Azure AI infrastructure

Whether or not your undertaking is massive or small, native or world, Microsoft Azure is empowering firms worldwide to push the boundaries of AI innovation. Study how one can make AI your actuality by exploring the next assets. 

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